Note:From November 1, 2023 to February 29, 2024, pay-as-you-go clusters in the Virginia region of the international site can enjoy a 20% discount. The final price will be determined based on the console.
The billable items of TDSQL-C for MySQL include compute node, storage space, and value-added services such as backup space and database audit. This document describes the pricing of TDSQL-C for MySQL.
Note:Value-added services are billed separately and independently of compute nodes and storage space. For more information, see Value-Added Service Pricing.
Total monthly subscription fees = compute node fees + storage space fees = compute node price * number of compute nodes + storage space price * storage space
Total pay-as-you-go fees = compute node fees + storage space fees = compute node price * number of compute nodes + storage space price * storage space
Total serverless fees = compute node fees + storage space fees = serverless computing power price * number of CCUs + storage space price * storage space
TDSQL-C for MySQL adopts a computing-storage separation architecture. You can purchase multiple compute nodes for a single cluster. Each compute node is billed separately, and all compute nodes in the same cluster share the same storage space, so you only need to pay for one storage space.
Note:Monthly-subscribed storage space can be purchased only after you select the monthly subscription billing mode for TDSQL-C for MySQL.
Compute Node Specification | Guangzhou, Shanghai, Beijing, and Nanjing | Hong Kong (China) and Taipei (China) | Beijing Finance | Silicon Valley, Frankfurt, and Virginia | Singapore and Seoul | Tokyo | ||||||
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Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | Pay-as-You-Go Price (USD/Hour) | Monthly Subscription Price (USD/Month) | |
1-core 1 GB MEM | 0.038952 | 8.82352942 | 0.065268 | 31.32352941 | 0.0585 | 28.05882353 | 0.068184 | 32.73529412 | - | - | - | - |
1-core 2 GB MEM | 0.049968 | 13.23529412 | 0.083664 | 40.14705882 | 0.07506 | 36 | 0.08748 | 42 | - | - | - | - |
2-core 4 GB MEM | 0.099936 | 48.00000002 | 0.167328 | 80.29411764 | 0.15012 | 72 | 0.17496 | 84 | 0.173304 | 83.20588234 | 0.12996 | 62.4 |
2-core 8 GB MEM | 0.144 | 69.17647062 | 0.240912 | 115.58823528 | 0.21636 | 103.76470588 | 0.252144 | 121.05882352 | 0.250488 | 120.26470586 | 0.187272 | 89.92941176 |
2-core 16 GB MEM | 0.232128 | 111.52941182 | 0.38808 | 186.17647056 | 0.34884 | 167.29411764 | 0.406512 | 195.17647056 | 0.404856 | 194.3823529 | 0.301896 | 144.98823528 |
4-core 8 GB MEM | 0.199872 | 96.00000004 | 0.334656 | 160.58823528 | 0.30024 | 144 | 0.34992 | 168 | 0.346608 | 166.41176468 | 0.25992 | 124.8 |
4-core 16 GB MEM | 0.288 | 138.35294124 | 0.481824 | 231.17647056 | 0.43272 | 207.52941176 | 0.504288 | 242.11764704 | 0.500976 | 240.52941172 | 0.374544 | 179.85882352 |
4-core 24 GB MEM | 0.376128 | 180.70588244 | 0.628992 | 301.76470584 | 0.5652 | 271.05882352 | 0.658656 | 316.23529408 | 0.655344 | 314.64705876 | 0.489168 | 234.91764704 |
4-core 32 GB MEM | 0.464256 | 223.05882364 | 0.77616 | 372.35294112 | 0.69768 | 334.58823528 | 0.813024 | 390.35294112 | 0.809712 | 388.7647058 | 0.603792 | 289.97647056 |
8-core 16 GB MEM | 0.399744 | 192.00000008 | 0.669312 | 321.17647056 | 0.60048 | 288 | 0.69984 | 336 | 0.693216 | 332.82352936 | 0.51984 | 249.6 |
8-core 32 GB MEM | 0.576 | 276.70588248 | 0.963648 | 462.35294112 | 0.86544 | 415.05882352 | 1.008576 | 484.23529408 | 1.001952 | 481.05882344 | 0.749088 | 359.71764704 |
8-core 48 GB MEM | 0.752256 | 361.41176488 | 1.257984 | 603.52941168 | 1.1304 | 542.11764704 | 1.317312 | 632.47058816 | 1.310688 | 629.29411752 | 0.978336 | 469.83529408 |
8-core 64 GB MEM | 0.928512 | 446.11764728 | 1.55232 | 744.70588224 | 1.39536 | 669.17647056 | 1.626048 | 780.70588224 | 1.619424 | 777.5294116 | 1.207584 | 579.95294112 |
12-core 48 GB MEM | 0.864 | 415.05882372 | 1.445472 | 693.52941168 | 1.29816 | 622.58823528 | 1.512864 | 726.35294112 | 1.502928 | 721.58823516 | 1.123632 | 539.57647056 |
12-core 72 GB MEM | 1.128384 | 542.11764732 | 1.886976 | 905.29411752 | 1.6956 | 813.17647056 | 1.975968 | 948.70588224 | 1.966032 | 943.94117628 | 1.467504 | 704.75294112 |
12-core 96 GB MEM | 1.392768 | 669.17647092 | 2.32848 | 1117.05882336 | 2.09304 | 1003.76470584 | 2.439072 | 1171.05882336 | 2.429136 | 1166.2941174 | 1.811376 | 869.92941168 |
16-core 64 GB MEM | 1.152 | 553.41176496 | 1.927296 | 924.70588224 | 1.73088 | 830.11764704 | 2.017152 | 968.47058816 | 2.003904 | 962.11764688 | 1.498176 | 719.43529408 |
16-core 96 GB MEM | 1.504512 | 722.82352976 | 2.515968 | 1207.05882336 | 2.2608 | 1084.23529408 | 2.634624 | 1264.94117632 | 2.621376 | 1258.58823504 | 1.956672 | 939.67058816 |
16-core 128 GB MEM | 1.857024 | 892.23529456 | 3.10464 | 1489.41176448 | 2.79072 | 1338.35294112 | 3.252096 | 1561.41176448 | 3.238848 | 1555.0588232 | 2.415168 | 1159.90588224 |
24-core 96 GB MEM | 1.728 | 830.11764744 | 3.10464 | 1387.05882336 | 2.59632 | 1245.17647056 | 3.025728 | 1452.70588224 | 3.005856 | 1443.17647032 | 2.247264 | 1079.15294112 |
24-core 144 GB MEM | 2.256768 | 1084.23529464 | 3.773952 | 1810.58823504 | 3.3912 | 1626.35294112 | 3.951936 | 1897.41176448 | 3.932064 | 1887.88235256 | 2.935008 | 1409.50588224 |
24-core 192 GB MEM | 2.785536 | 1338.35294184 | 4.65696 | 2234.11764672 | 4.18608 | 2007.52941168 | 4.878144 | 2342.11764672 | 4.858272 | 2332.5882348 | 3.622752 | 1739.85882336 |
32-core 128 GB MEM | 2.304 | 1106.82352992 | 3.854592 | 1849.41176448 | 3.46176 | 1660.23529408 | 4.034304 | 1936.94117632 | 4.007808 | 1924.23529376 | 2.996352 | 1438.87058816 |
32-core 192 GB MEM | 3.009024 | 1445.64705952 | 5.031936 | 2414.11764672 | 4.5216 | 2168.47058816 | 5.269248 | 2529.88235264 | 5.242752 | 2517.17647008 | 3.913344 | 1879.34117632 |
32-core 256 GB MEM | 3.714048 | 1784.47058912 | 6.20928 | 2978.82352896 | 5.58144 | 2676.70588224 | 6.504192 | 3122.82352896 | 6.477696 | 3110.1176464 | 4.830336 | 2319.81176448 |
48-core 192 GB MEM | 3.456 | 1660.23529488 | 5.781888 | 2774.11764672 | 5.19264 | 2490.35294112 | 6.051456 | 2905.41176448 | 6.011712 | 2886.35294064 | 4.494528 | 2158.30588224 |
48-core 288 GB MEM | 4.513536 | 2168.47058928 | 7.547904 | 3621.17647008 | 6.7824 | 3252.70588224 | 7.903872 | 3794.82352896 | 7.864128 | 3775.76470512 | 5.870016 | 2819.01176448 |
48-core 384 GB MEM | 5.571072 | 2676.70588368 | 9.31392 | 4468.23529344 | 8.37216 | 4015.05882336 | 9.756288 | 4684.23529344 | 9.716544 | 4665.1764696 | 7.245504 | 3479.71764672 |
48-core 488 GB MEM | 6.716736 | 3227.29411928 | 11.227104 | 5385.88235208 | 10.0944 | 4840.94117624 | 11.763072 | 5647.76470496 | 5628.70588112 | 8.735616 | 59.43 | 4195.48235248 |
64-core 256 GB MEM | 4.608 | 2213.64705984 | 7.709184 | 3698.82352896 | 6.92352 | 3320.47058816 | 8.068608 | 3873.88235264 | 8.015616 | 3848.47058752 | 5.992704 | 2877.74117632 |
64-core 384 GB MEM | 6.018048 | 2891.29411904 | 10.063872 | 4828.23529344 | 9.0432 | 4336.94117632 | 10.538496 | 5059.76470528 | 10.485504 | 5034.35294016 | 7.826688 | 3758.68235264 |
64-core 512 GB MEM | 7.428096 | 3568.94117824 | 12.41856 | 5957.64705792 | 11.16288 | 5353.41176448 | - | - | 12.955392 | 6220.2352928 | - | - |
88-core 710 GB MEM | 10.279728 | 4939.05882598 | 17.185896 | 8244.7058811 | 15.44832 | 7408.58823498 | 18.002304 | 8643.35293992 | 17.92944 | 8608.41176288 | 13.369392 | 6420.77646996 |
Billable Unit | Guangzhou, Shanghai, Beijing, and Nanjing |
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CCU Price (USD/Unit/Second) | |
Serverless instance | 0.00001397 |
Note:
TDSQL-C Compute Unit (CCU) is the computing and billing unit for the serverless mode. A CCU is approximately equal to 1 CPU core and 2 GB memory. The number of CCUs used in each billing cycle is the greater of the number of CPU cores used by the database and 1/2 of the memory size.
- You can refer to compute unit to select the corresponding maximum and minimum CCU values. The storage space upper limit is the same as the maximum storage space corresponding to the common compute node specifications as described in Product Specifications.
Guangzhou, Shanghai, Beijing, Nanjing, Beijing Finance, Chengdu, and Chongqing | Hong Kong (China), Taipei (China), Singapore, Silicon Valley, Frankfurt, Tokyo, Virginia, and Seoul | ||
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Pay-as-You-Go Price (USD/GB/Hour) | Monthly Subscription Price (USD/GB/Month) | Pay-as-You-Go Price (USD/GB/Hour) | Monthly Subscription Price (USD/GB/Month) |
0.00072 | 0.000792 |
The backup space is free of charge for now.
Database audit is billed by the amount of audit log storage on a pay-as-you-go basis. Fees are billed for every clock-hour, and usage duration shorter than one hour will be calculated as one hour.
Region | Price (USD/GB/Hour) | |
---|---|---|
Frequent Access Storage | Infrequent Access Storage | |
China (including finance regions) | 0.00147059 | 0.00018382 |
Other countries and regions | 0.00220588 | 0.00027573 |
For more information, see Database Audit Billing Overview.
Note:The following prices are for demonstration only. The actual prices at the official website shall prevail, which may vary by region, campaign, or policy.
You purchased a 1-core 2 GB MEM TDSQL-C for MySQL cluster that contained one instance in Beijing Zone 5 for one month, and used 10 GB of storage space every day.
Monthly compute node fees = 13.23529412 USD/month * 1 month * 1 = 13.23529412 USD
Monthly storage space fees = 0.20541177 USD/GB/month * 10 GB = 2.0541177 USD
Total monthly fees = compute node fees + storage space fees = 13.23529412 USD + 2.0541177 USD = 15.28941182 USD
You purchased a 1-core 2 GB MEM TDSQL-C for MySQL cluster that contained one instance in Beijing Zone 5, and used 10 GB of storage space every day.
Daily compute node fees = 0.049968 USD/hour * 24 hours * 1 = 1.199232 USD
Daily storage space fees = 0.00072 USD/GB/hour * 10 GB * 24 hours = 0.1728 USD
Total daily fees = compute node fees + storage space fees = 1.199232 USD + 0.1728 USD = 1.372032 USD
You purchased a 1-core 2 GB MEM TDSQL-C for MySQL cluster that contained one instance in Beijing Zone 5, and used 30 GB of storage space in total for 10 days.
Monthly compute node fees = 13.23529412 USD/month * 1 month * 1 = 13.23529412 USD
Storage space fees for 10 days = 0.00072 USD/GB/hour * 30 GB * 24 hours * 10 = 5.184 USD
Total fees after 10 days = compute node fees + storage space fees = 13.23529412 USD + 5.184 USD = 18.4192941 USD
You purchased a serverless database with a minimum computing specification of 0.25 CCU/s and a maximum computing specification of 2 CCU/s in Beijing Zone 5, and used 10 GB of storage space all day and an average of 1.5 CCU/s in one hour every day.
Daily compute node fees = 1.5 * 3600 seconds * 0.00001397 USD/unit/second = 0.075438 USD
Daily storage space fees = 0.00072 USD/GB/hour * 10 GB * 24 hours = 0.1728 USD
Total daily fees = compute node fees + storage space fees = 0.075438 USD + 0.1728 USD = 0.248238 USD
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